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AI in Energy Management Market to Generate Revenue Worth $12,200.9 Million by 2024

Published Date:   December 2019

The global AI in energy management market was valued at $4,439.1 million in 2018, which is projected to reach $12,200.9 million by 2024, growing at a CAGR of 19.8% during the forecast period (2019–2024). On the basis of end user, the utility category held the largest market share in 2018. This is attributed to the fact that companies, such as Duke Energy Corporation and Dominion Energy Inc., have been actively deploying AI solutions for managing supply–demand balance and optimizing business infrastructure.

Integration of IoT in energy management systems

The integration of IoT in EMSs is observed as a major trend in the market. In EMS, IoT plays a vital role in delivering software automation, remote controls, proactive monitoring, and data insight services. It helps to display the energy consumption value with the help of smart meters and sensors at the machine and production line levels. IoT provides an integrated suite of software & services that helps in reducing the energy costs.

Leveraging AI to Improve Grid Stability

A grid system is an interconnected network that stores and maintains the flow of energy. Electric grids vary in size and technical specifications, such as grids for single building, national grids for an entire country, and transnational grids for continents. Grids store energy from multiple sources, such as solar power plants, wind power stations, and electricity generation plants. Thus, operating these systems is a complex process. By leveraging AI for analyzing massive data sets, grid systems become far more stable and energy efficient in managing more than one energy source simultaneously.

Use of AI-Enabled Robots for Site Inspection and Maintenance Is Offering Growth Opportunity for Market Players

AI-enabled robots have the potential to revolutionize the cost structure and operations of energy companies, along with the reduction in risks and health improvement of the energy personnel. AI-enabled robots are capable of inspecting, certifying, maintaining, and repairing energy installation units. Further, the robots can be used in cleaning up and decommissioning of nuclear waste.

Segmentation Analysis of AI in Energy Management Market

AI in Energy Management Market

  • The cloud category held larger share in the AI in energy management market in 2018. This is owing to the fact that around 70% of the total U.S. companies invest in cloud-based solutions.
  • The renewable management category in the AI in energy management market is projected to observe the fastest growth during the forecast period. This can be attributed to the increasing focus on energy generation from renewable sources, such as solar, wind, thermal, geothermal, and biomass, in order to decrease the global carbon footprint.
  • The energy output forecasting category held the largest share in 2018 in the AI in energy management market. This is attributed to the fact that AI solutions assist utilities in providing effective energy management services to consumers by utilizing data, machine learning techniques, and statistical algorithms.
  • The machine learning category is projected to witness the fastest growth in the AI in energy management market throughout the forecast period. This can be attributed to the fact that machine learning technology gaining traction as it uses different algorithms and statistical models to provide systems the ability to automatically perform tasks with more accuracy.
  • The utility category is projected to account for the fastest growth across the forecast period. The growth can be attributed to the fact that utilities require advanced systems, such as smart meters, that help improve the integration of renewable energy by providing real-time information about transmission line capacity and usage statistics, which allows the operators to project energy requirements and integrate energy generated from renewable sources into the existing grid for efficient energy supply.

Geographical Analysis of AI in Energy Management

Globally, North America and Europe collectively accounted for more than 50% of the market share in the AI in energy management market in 2018. The regions are home to some of the top AI solution providers and the governments of top markets such as U.S. and U.K. among these regions, have been actively investing toward the deployment of AI solutions. For instance, in February 2019, the U.S. government launched the American AI Initiative program, wherein an amount close to $1 billion for AI research across all agencies is to be invested as reported by the U.S. Office of Science and Technology Policy.

The U.S. held the largest market share in the AI in energy management market. The U.S. is the present leader in AI technology, the U.S. pays a strong emphasis on the energy generated through renewable sources which is 18.2% of the total energy produced, hence the U.S. is deploying AI solutions in the energy sector to integrate renewables into the power grid. Further, China is projected to be the fastest growing market across the forecast period. This can be attributed to the large amount of energy consumption in China which stood close to 1500 GW in 2018. With such a heavy consumption China is heavily investing in AI solutions for integrating and supporting the management of energy produced from different sources, such as wind, thermal, hydro, and solar, into the power grid.

Competitive Landscape of AI in Energy Management

The AI in energy management market has a fragmented structure, with the presence of a large number of market players. Some top players in the market are General Electric Company, Schneider Electric SE, IBM Corporation, ABB Ltd., Eaton Corporation plc., and Mitsubishi Electric Corporation.

Browse report overview with detailed TOC on "AI in Energy Management Market Research Report: By Type (Cloud, On-Premises), Solution (Renewable Management, Demand Management, Infrastructure Management), Application (Energy Generation, Energy Transmission, Energy Distribution, Energy Output Forecasting), Technology (Machine Learning, NLP, Computer Vision), End User (Manufacturing, Utility, Residential, Government, Retail, Healthcare, Education) – Industry Opportunity Analysis and Growth Forecast to 2024" at:https://www.psmarketresearch.com/market-analysis/ai-in-energy-management-market

In recent years, the major players in the AI in energy management market have taken several strategic measures, such as mergers & acquisitions, product launches, and geographical expansions, to gain a competitive edge in the industry. For instance, in March 2019, Smart Energy Water (SEW), a cloud platform provider for data on energy and water, entered into an agreement with IBM Corporation to leverage the IBM cloud for global deployment of SEW platform over a period of next five years. Under the agreement, SEW will access the scalability and flexibility of IBM cloud. Further, in June 2019, Schneider Electric, a global player in energy management and automation, acquired the majority stake in AutoGrid Systems Inc., a provider of management software for the energy industry. Schneider Electric will leverage AutoGrid’s flex and energy internet platforms to provide AI-driven solutions used in the energy sector.

Other key players in the market include Siemens AG, Alphabet Inc., Honeywell International Inc, Johnson Controls International plc and Xcel Energy Inc.

AI in Energy Management Market Segmentation

Market Segmentation by Deployment Type

  • Cloud
  • On-Premises

Market Segmentation by Solution

  • Renewable Management
  • Demand Management
  • Infrastructure Management

Market Segmentation by Application

  • Energy Generation
  • Energy Transmission
  • Energy Distribution
  • Energy Output Forecasting
    • Load forecasting
    • Yield optimization
    • Predictive maintenance
    • Live metering

Market Segmentation by Technology

  • Machine Learning
  • Natural Language Processing
  • Computer Vision

Market Segmentation by End User

  • Manufacturing
  • Utility
  • Residential
  • Government
  • Retail
  • Healthcare
  • Education

Market Segmentation by Region

  • North America AI in Energy Management Market
    • By deployment type
    • By solution         
    • By application
    • By technology
    • By end user
    • By country – U.S. and Canada
  • Europe AI in Energy Management Market
    • By deployment type
    • By solution         
    • By application
    • By technology
    • By end user
    • By country – U.K., Germany, Russia, France, Norway, and Rest of Europe
  • Asia-Pacific (APAC) AI in Energy Management Market
    • By deployment type
    • By solution         
    • By application
    • By technology
    • By end user
    • By country – China, Japan, India, Australia, South Korea, and Rest of APAC
  • Latin America (LATAM) AI in Energy Management Market
    • By deployment type
    • By solution         
    • By application
    • By technology
    • By end user
    • By country – Brazil, Mexico, Argentina, and Rest of LATAM
  • Middle East & Africa (MEA) AI in Energy Management Market
    • By deployment type
    • By solution         
    • By application
    • By technology
    • By end user
    • By country – Saudi Arabia, South Africa, U.A.E., and Rest of MEA